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Improving run times with efficient use of computer resources

Cube Cluster distributes model run processes across multiple computer processors, dramatically cutting model run times in many cases. With Cube Cluster, a travel forecasting model that currently takes a day or more to run might only take a few hours to run. Cube Cluster can distribute run processes across the processors in one or in multiple PCs.

Cube Cluster is truly a huge advance in travel forecasting. Cube Cluster greatly reduces run times, increasing a modeler’s ability to respond quickly to management and client demands and to efficiently run and test many more scenarios. Cube Cluster has no scaling restrictions. You could take a model system and run it across 100 processors, perhaps reducing run times to several minutes!
cluster example model run time

 

 

 


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